Sentence examples for artificial intelligence engineers from inspiring English sources

The Silicon Valley-military industrial complex is increasingly in the crosshairs of artificial intelligence engineers.

This was a technique that was similar to what artificial intelligence engineers had been doing for many years, but Google did this on a platform that made it really easy for the average programmer to utilize many computers - not just ten, but hundreds or even thousands of computers at the same time in order to compute something meaningful," says Zweben reverently.

Udacity's security sales pitch is that it has already trained 10,000 artificial intelligence engineers (no word on how many the company has successfully placed in companies), and has thousands of students actively enrolled in its artificial intelligence and data analysis classes.

That model, one Siri pioneered, has been embraced by a growing wave of artificial intelligence engineers and entrepreneurs keen to pioneer their own version of HAL.

Guido Zarrella is a Principal Artificial Intelligence Engineer at the MITRE Corporation in Denver, Colorado.

A 31-year-old artificial intelligence engineer in Hangzhou, China, claims to have married a female robot he created from scratch.

An article published in January 2018 in MIT Technology Review argued, "There probably isn't a more sought-after skill set in the world of technology" than that of an artificial-intelligence engineer.

IBM has long said it can do similar with its Watson artificial intelligence group; engineers can also choose from a range of open-source options in NLP from companies including Google.

Use sound waves in interesting ways to detect phenomena that cannot be achieved in traditional programmatic ways". Artificial intelligence machine learning engineer (financial services): "We're using AI and ML to create experiences and services that will help more people than ever reach their goals.

On March 20 , 1995 two physicists, an artificial intelligence researcher, an engineer, and a heart doctor entered the Tokyo subway system at the peak of morning rush hour.

His research focuses on how to identify and elicit knowledge which human experts apply to solve ill-structured problems, how to engineer ontologies and processes which capture and preserve that knowledge, and how to engineer artificial intelligence which automatically applies that knowledge at a larger scale.